code: def from_name(
      model_name: Union[ValidHFModel, OpenAIModel], device: Device
  ) -> Model:
      if model_name in valid_hf_models:
          model = HFModel(model_name, device)
      elif model_name in valid_gpt3_models:
          model = GPT3Model(model_name)
      else:
          raise ValueError(f"Unrecognised model '{model_name}'")
      return model
  
imports: from __future__ import annotations
  from abc import ABC, abstractmethod
  from typing import Union, cast, Sequence
  from typing_extensions import Literal, get_args
  import numpy
  import torch
  import torch.nn.functional
  from transformers import AutoModelForCausalLM, AutoTokenizer
  from accelerate import Accelerator
  from .isp_dataset import ClassificationExample, Example, ExampleWithClasses, LogoddsExample, SequenceProbExample, NumericExample, TaskType
  from .isp_utils import BasicParser
  from .isp_utils import OpenAIModel, OpenaAIModelList
label_desc: Use image node_id 2 for calling the Model obj's underlying member method code with example usage: obj.from_name(model_name, device) and returns: model